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Published on 04.02.14 in Vol 16, No 2 (2014): February

This paper is in the following e-collection/theme issue:

Works citing "The 1% Rule in Four Digital Health Social Networks: An Observational Study"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2966):

(note that this is only a small subset of citations)

  1. Carron-Arthur B, Cunningham JA, Griffiths KM. Describing the distribution of engagement in an Internet support group by post frequency: A comparison of the 90-9-1 Principle and Zipf's Law. Internet Interventions 2014;1(4):165
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  2. Stearns M, Nambiar S, Nikolaev A, Semenov A, McIntosh S. Towards evaluating and enhancing the reach of online health forums for smoking cessation. Network Modeling Analysis in Health Informatics and Bioinformatics 2014;3(1)
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  3. Ünlü Ince B, Cuijpers P, van 't Hof E, Riper H. Reaching and recruiting Turkish migrants for a clinical trial through Facebook: A process evaluation. Internet Interventions 2014;1(2):74
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  4. O'Neill B, Ziebland S, Valderas J, Lupiáñez-Villanueva F. User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom. Journal of Medical Internet Research 2014;16(4):e118
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  5. Sun N, Rau PP, Ma L. Understanding lurkers in online communities: A literature review. Computers in Human Behavior 2014;38:110
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  6. Merchant RM, Griffis HM, Ha YP, Kilaru AS, Sellers AM, Hershey JC, Hill SS, Kramer-Golinkoff E, Nadkarni L, Debski MM, Padrez KA, Becker LB, Asch DA. Hidden in Plain Sight: A Crowdsourced Public Art Contest to Make Automated External Defibrillators More Visible. American Journal of Public Health 2014;:e1
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